You are here:

28176 - STATISTICAL METHODS FOR ECONOMIC ANALYSIS

Academic Year 2024/2025

                
                        Docente:
                        Maria Pia Victoria Feser
                    
                        Credits:
                        6
                    
                        SSD:
                        SECS-S/01
                    
                        Language:
                        English
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Applied Economics and Markets (cod. 5969)

                                    Course Timetable
                                
from Nov 13, 2024 to Dec 13, 2024

Learning outcomes

At the end of the course students are expected to have a deep knowledge of main concepts and tool of inferential statistics - estimation, confidence intervals, hypothesis testing – for the probabilistic models that are exploited in advanced economic and econometric courses of the master degree. Moreover, students should be able to apply these models not only in univariate scenarios both also in a multivariate framework.

Course contents

- Introduction to data analysis and simulations with `R`.
- Discrete Probability Distribution Functions (binomial, Poisson, negative binomial).
- Continuous Probability Distribution Functions (uniform, exponential, normal).
- Empirical data analysis (empirical PDF, summary statistics, descriptive data analysis).
- Estimation methods (maximum likelihood estimator, properties).
- Linear regression model.
- Logistic regression model.

Links to further information

https://virtuale.unibo.it/course/view.php?id=55903

Office hours

See the website of Maria Pia Victoria Feser